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  3. 第七届CSIG图像图形技术挑战赛—复杂工业场景异常检测算法挑战赛

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TianchiLLMAdvancedRegistration openRegistration deadline · Sep 30, 2026

第七届CSIG图像图形技术挑战赛—复杂工业场景异常检测算法挑战赛

Learners comfortable reading Chinese problem statements who want industry or algorithm challenges on Tianchi.

Open official pageSign in to saveOpen guide

Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

22/100

Higher means a safer real starting point for your current stage.

Learning value

76/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

20-50 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Ti…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

Learners comfortable reading Chinese problem statements who want industry or algorithm challenges on Tianchi.

Official blurb (unedited)
CSIG图像图形技术挑战赛是由中国图像图形学会(CSIG)主办的系列赛事。本赛道为第七届CSIG图像图形技术挑战赛,由荣旗科技、CSIG视觉检测专委会承办,赛道基于业界极具挑战性的真实工业多视角数据集 Real-IAD Variety(160类,近20万图)。重点考察大模型在面对超大规模类别的异常分类与像素级缺陷分割能力,以及在遭遇全新产品冷启动时,模型在未见类别(零样本/Zero-Shot)上的极限泛化水平。总奖金池4万元,冠军将角逐CSIG挑战赛年度总决赛。 Official category: AI Large Model Competition (AI大模型赛). Official tags: 计算机视觉‌, 工业制造. Teams entered: 925.

What this competition gives you

There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.

Data

Real-IAD Variety deep-cleaned subset: 100 categories and over 31,000 files.

DataDINOv2 pretrained weights repository.
BaselineINP-Former open-source code repository.
DataOpenCLIP cross-modal toolkit repository.
Reference paper

Real-IAD CVPR 2024 prior-work reference.

Reference paper

Real-IAD D³ CVPR 2025 prior-work reference.

Reference paper

Real-IAD Variety PR 2026 prior-work reference.

Reference paper

WinCLIP prior-work reference for zero-shot defect inference.

Reference paper

AnomalyGPT prior-work reference for zero-shot defect inference.

Reference paper

AdaCLIP prior-work reference for zero-shot defect inference.

Support channel

Competition support email.

Support channelCompetition discussion group.

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

Python basics

Transformer or LLM workflow basics

prompting or evaluation workflow

competition submission workflow

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

Task framing, data access, and evaluation details live mainly on the official page and may require careful reading.

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

A simple framework for choosing a competition that teaches instead of overwhelming you.

How to Choose Your First AI Competition

Your decision

Use these fields to make a quick decision before you dive deeper.

Status
Registration open
Registration
Registration deadline · Sep 30, 2026
Eligibility
Needs official confirmation
Event timeline
Event ends · Sep 30, 2026
Reward
CNY 40,000
Compute
Single GPU
Official metric
Official scoring is published on the Tianchi competition page.
Verification
Source page verified

This competition is better treated as a comparison option inside your shortlist before you invest more time.

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Official source

Rules, files, submission details, and the live deadline still come from the official page.

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Source published
May 12, 2026
Published on this site
Jul 18, 2026

Official metric is not published on the Tianchi competition listing; scoring rules should be verified on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize amount.